Classification of Neurological States from Biosensor Signals Based on Statistical Features
In this paper, we investigate techniques to classify the neurological status based on the biosensor signals. The sensor used in this work, recorded reading of acceleration (accX, aceY, accZ), temperature and electrodermal activity (EDA). Four neurological conditions are considered; cognitive stress,...
| Main Authors: | Xin, S.Q., Yahya, N., Izhar, L.I. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.24915 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075630463&doi=10.1109%2fSCORED.2019.8896286&partnerID=40&md5=05c3eb4d2ba81cd7bcbd69d8b7b9b3be http://eprints.utp.edu.my/24915/ |
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